Recent advances in wave function-based methods of molecular-property calculations

T Helgaker, S Coriani, P Jørgensen… - Chemical …, 2012 - ACS Publications
Our understanding of the electronic structure of molecules often comes from spectroscopic
investigations in which electromagnetic radiation is applied to a molecule and the scattering …

First-principles calculation of NMR parameters using the gauge including projector augmented wave method: a chemist's point of view

C Bonhomme, C Gervais, F Babonneau… - Chemical …, 2012 - ACS Publications
First-principles calculations of NMR parameters in solids (including the chemical shift, the
quadrupolar interaction for nuclei with spin quantum number I> 1/2, and the indirect J …

Fully automated quantum‐chemistry‐based computation of spin–spin‐coupled nuclear magnetic resonance spectra

S Grimme, C Bannwarth, S Dohm… - Angewandte Chemie …, 2017 - Wiley Online Library
We present a composite procedure for the quantum‐chemical computation of spin–spin‐
coupled 1H NMR spectra for general, flexible molecules in solution that is based on four …

Spectroscopy in complex environments from QM–MM simulations

UN Morzan, DJ Alonso de Armino, NO Foglia… - Chemical …, 2018 - ACS Publications
The applications of multiscale quantum–classical (QM–MM) approaches have shown an
extraordinary expansion and diversification in the last couple of decades. A great proportion …

Motional timescale predictions by molecular dynamics simulations: case study using proline and hydroxyproline sidechain dynamics

AE Aliev, M Kulke, HS Khaneja… - Proteins: Structure …, 2014 - Wiley Online Library
We propose a new approach for force field optimizations which aims at reproducing
dynamics characteristics using biomolecular MD simulations, in addition to improved …

IMPRESSION–prediction of NMR parameters for 3-dimensional chemical structures using machine learning with near quantum chemical accuracy

W Gerrard, LA Bratholm, MJ Packer, AJ Mulholland… - Chemical …, 2020 - pubs.rsc.org
The IMPRESSION (Intelligent Machine PREdiction of Shift and Scalar information Of Nuclei)
machine learning system provides an efficient and accurate method for the prediction of …

NMR Coupling Constants Based on the Bethe–Salpeter Equation in the GW Approximation

YJ Franzke, C Holzer, F Mack - Journal of Chemical Theory and …, 2022 - ACS Publications
We present the first steps to extend the Green's function GW method and the Bethe–Salpeter
equation (BSE) to molecular response properties such as nuclear magnetic resonance …

Quantum-Chemical Simulation of 1H NMR Spectra. 2. Comparison of DFT-Based Procedures for Computing Proton–Proton Coupling Constants in Organic Molecules

T Bally, PR Rablen - The Journal of organic chemistry, 2011 - ACS Publications
The performance of 250 different computational protocols (combinations of density
functionals, basis sets and methods) was assessed on a set of 165 well-established …

Reducing Exact Two-Component Theory for NMR Couplings to a One-Component Approach: Efficiency and Accuracy

YJ Franzke - Journal of Chemical Theory and Computation, 2023 - ACS Publications
The self-consistent and complex spin–orbit exact two-component (X2C) formalism for NMR
spin–spin coupling constants [J. Chem. Theory Comput. 17, 2021, 3874− 3994] is reduced …

Computational protocols for calculating 13C NMR chemical shifts

LB Krivdin - Progress in nuclear magnetic resonance spectroscopy, 2019 - Elsevier
The most recent results dealing with the computation of 13 C NMR chemical shifts in
chemistry (small molecules, saturated, unsaturated and aromatic compounds, heterocycles …